Gender: Male 
Age: 45-54
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Cohabitating 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 6
Home: Own 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Skilled agricultural, forestry and fishery workers (those harvest, grow, breed, or produce a variety of animal husbandry products)
Father's occupation: Elementary occupations (jobs that involve simple and routine tasks which may require the use of hand-held tools and considerable physical effort)
Hobbies: Listen to rock/indie music;Go to gigs;Use social media;Go to museums and galleries;Do arts and crafts;Attend football matches;Watch sports;Exercise 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Text-to-Speech (i.e, computers being able to read out loud written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Generic chatbot conversation;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Personal 
Prompt 1: Can you write me a 4 week 400m training plan. My PB is 57 seconds. 
Prompt 2: Can you change the % to times
Prompt 3: Can you alter the times based on my PB's of 12.2 seconds for 100m, 25.3 seconds for 200m and 57 seconds for 400m.
Prompt 4: can you alter the times to the nearest 10th of a second
Prompt 5: some of those target times are quicker than my PB's, Can you make them more realistic
Prompt 6: The week 3 times are faster than my PB's. I cannot achieve this
Prompt 7: Can you give me the final plan with the times changed to % of PB
Prompt 8: Please provide 5 suggestions to improve the mental health of employees working in the metaverse. Keep each suggestion short (with a maximum of 10 words).
Prompt 9: Using one to three sentences, define strategic change capabilities in a non-profit context.
Prompt 10: Please think about a time during the past one year when one of your followers/subordinates was resilient (i.e. the follower overcame adversity and bounced back from hardship). Please describe that behavior and incident in detail in the box below.
Comments: No. Everything went well